Characterization of the impact of coating defects on ceramic insulator efficiency: Machine learning approaches

Characterization of the impact of coating defects on ceramic insulator efficiency: Machine learning approaches

Porcelain insulators are essential for the safety and efficiency of electrical systems, yet their hydrophobicity needs improvement through anti-pollution flashover coatings. However, these coatings are prone to damage from factors such as pollution. This study aims to investigate the electrical char...

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Bibliographic Details
Published in:ELECTRIC POWER SYSTEMS RESEARCH
Main Authors: Salem, Ali Ahmed; Alawady, Ahmed Allawy; AL-Gailani, Samir A.; Amer, Abdulrahman Ahmed Ghaleb; Al-Ameri, Salem Mgammal; Abd-Rahman, Rahisham; AL-Gailani, Nasir Ahmed
Format: Article
Language:English
Published: ELSEVIER SCIENCE SA 2025
Subjects:
Engineering
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001349283600001

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https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001349283600001

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